DocumentCode :
3431598
Title :
Sign-assisted precoding for joint decentralized detection and estimation in WSNs
Author :
Jun Fang ; Xiaoying Li ; Hongbin Li
Author_Institution :
Nat. Key Lab. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
384
Lastpage :
388
Abstract :
We consider a joint decentralized detection and estimation problem in which a number of sensor nodes collaborate to detect and estimate an unknown deterministic vector signal. To cope with the power/bandwidth constraints inherent in wireless sensor networks (WSNs), each sensor compresses its observations using a linear precoder. The compressed messages are transmitted to the fusion center (FC), where a global decision is made by resorting to a generalized likelihood ratio test (GLRT), and a maximum likelihood (ML) estimate of the signal is formed if the signal is detected. We propose a sign-assisted random precoding scheme which utilizes the knowledge of the plus/minus signs of the signal components. Performance analysis shows that the signassisted scheme is more effective than the energy detector in detecting weak signals that are buried in noise. Specifically, it outperforms the energy detector when the observation signal-to-noise ratio (SNR) is less than 1/(π-2).
Keywords :
maximum likelihood detection; maximum likelihood estimation; precoding; wireless sensor networks; GLRT; SNR; WSN; compressed messages; fusion center; generalized likelihood ratio test; joint decentralized detection; joint decentralized estimation; linear precoder; maximum likelihood estimation; power-bandwidth constraints; sensor nodes; sign-assisted random precoding; signal components; signal-to-noise ratio; unknown deterministic vector signal; wireless sensor networks; Detectors; Maximum likelihood estimation; Random variables; Signal to noise ratio; Vectors; Wireless sensor networks; Decentralized detection; error exponent; precoding design; wireless sensor networks (WSNs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625366
Filename :
6625366
Link To Document :
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